OpenML
81782

Run 81782

Task 3812 (Supervised Classification) arsenic-female-bladder Uploaded 02-12-2014 by Joaquin Vanschoren
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Flow

weka.Bagging_REPTree(3)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_REPTree(3)_I40
weka.Bagging_REPTree(3)_P100
weka.Bagging_REPTree(3)_S1
weka.Bagging_REPTree(3)_Wweka.classifiers.trees.REPTree
weka.Bagging_REPTree(3)_num-slots1
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M2
weka.REPTree(5)_N3
weka.REPTree(5)_S1
weka.REPTree(5)_V0.001

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.7156
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0539
Cross-validation details (10-fold Crossvalidation)
Build memory
636707754.9195
Cross-validation details (10-fold Crossvalidation)
F measure
0.8361
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2445
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-12.9617
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.201
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2462
Cross-validation details (10-fold Crossvalidation)
Number of instances
559
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8386
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8658
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5956
Cross-validation details (10-fold Crossvalidation)
Recall
0.8658
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8164
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3502
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.331
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9453
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
943.4766